Triple

T11830946
Position Surface form Disambiguated ID Type / Status
Subject Austin metropolitan area E281387 entity
Predicate containsCity P294 FINISHED
Object Kyle, Texas E563235 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kyle, Texas | Statement: [Austin metropolitan area, containsCity, Kyle, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyle, Texas
Context triple: [Austin metropolitan area, containsCity, Kyle, Texas]
  • A. Kyle, Texas chosen
    Kyle, Texas is a rapidly growing small city in Central Texas located between Austin and San Marcos, known for its suburban character and proximity to major highways.
  • B. Kaufman, Texas
    Kaufman, Texas is a small city in northeastern Texas that serves as the administrative and commercial hub of Kaufman County.
  • C. Keller, Texas
    Keller, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods, quality schools, and extensive parks and trail system.
  • D. Kent, Texas
    Kent, Texas is a small unincorporated community in far western Texas, known primarily as a remote stop along Interstate 10.
  • E. Killeen, Texas
    Killeen, Texas is a central Texas city best known as the civilian community adjacent to the large U.S. Army installation Fort Cavazos (formerly Fort Hood).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62c95988190a45dbaa7001c8846 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8b788308190bd9c3b68569bc56a completed May 3, 2026, 2:53 a.m.
Created at: April 8, 2026, 9:43 p.m.